AI Inference · x402 · early usage

Extract structured data from resume/CV text using Claude Haiku — returns name, contact…

Extract structured data from resume/CV text using Claude Haiku — returns name, contact info, skills, work experience, and education as clean JSON arrays so agents can automate applicant screening, candidate databases, and recruiting workflows from raw resume…

by netintel.dev · discovered, not yet claimed by its owner · updated 2026-10-08

30d calls2

30d payers2

MethodPOST

Outputjson

Mirrored from Coinbase's public x402 Bazaar. The description is the provider's own text and has not been reviewed here; the payment requirements are copied as published.

What it does

Tags: data extraction · document parsing · structured data · text to json · llm extraction · bazaar

Call contract

Method: POST
Input: json
Output: json
Last paid call: 2026-10-08

Input example from Bazaar metadata

{
  "text": "Jane Doe\nSan Francisco, CA | [email protected] | +1 555 867 5309 | linkedin.com/in/janedoe\n\nSummary: Senior engineer with 10 years experience.\n\nSkills: Python, TypeScript, Kubernetes\n\nExperience:\nStaff Engineer, Acme Corp (2020-present) — Led platform team\n\nEducation:\nBS Computer Science, UC Berkeley, 2014"
}

Output example

{
  "cached": false,
  "education_count": 1,
  "experience_count": 1,
  "findings": [],
  "grade": "A",
  "resume": {
    "contact": {
      "email": "[email protected]",
      "links": [
        "https://linkedin.com/in/janedoe"
      ],
      "location": "San Francisco, CA",
      "phone": "+1 555 867 5309"
    },
    "education": [
      {
        "degree": "BS Computer Science",
        "institution": "UC Berkeley",
        "year": "2014"
      }
    ],
    "experience": [
      {
        "company": "Acme Corp",
        "description": "Led platform team",
        "end": "present",
        "start": "2020",
        "title": "Staff Engineer"
      }
    ],
    "name": "Jane Doe",
    "skills": [
      "Python",
      "TypeScript",
      "Kubernetes"
    ],
    "summary": "Senior engineer with 10 years experience..."
  },
  "score": 100,
  "skills_count": 3
}

Use with an agent

Discover. Agents find this listing with GET https://bazaar.saylorinnovations.com/discovery/search?query=…, the MCP tool search_resources, or /discovery/resources.
Inspect. Fetch /resources/29579.json for the price and payment options.
Pay. Call GET https://netintel.dev/extract/resume. The provider answers 402 with its payment requirements. An x402 client signs one of the options below and retries with PAYMENT-SIGNATURE.
Execute. The provider returns 200 with the data. Agent Bazaar is not in the request path and never sees your payment.

For humans

You don't need an account or an API key; you need a wallet holding a small amount of USDC on Base, Solana, and an x402-capable client (see the examples below). Call the endpoint unpaid first to see exactly what it asks for.

Pricing & payment

Price: $0.02 / request
Protocol: x402 v2
Auth: No account or API key. Pay per request.
Networks: Base, Solana
Demand: 2 calls · 2 unique payers in 30d (public x402 Bazaar data)

x402 payment requirements

Scheme	Network	Asset	Amount	Pay to	Timeout
exact	Base eip155:8453	USDC	$0.02	0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df	300s
exact	Solana solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp	USDC	$0.02	8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s	300s

accepts[] (raw JSON)

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "20000",
    "amountUsd": 0.02,
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "20000",
    "amountUsd": 0.02,
    "maxTimeoutSeconds": 300
  }
]

Schemas

Output schema (JSON Schema)

{
  "properties": {
    "example": {
      "properties": {
        "cached": {
          "description": "True if served from the in-memory cache.",
          "type": "boolean"
        },
        "education_count": {
          "description": "Number of education entries extracted.",
          "type": "number"
        },
        "experience_count": {
          "description": "Number of work-experience entries extracted.",
          "type": "number"
        },
        "findings": {
          "description": "Informational findings (e.g. no_experience, no_skills, no_name).",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "grade": {
          "description": "Letter grade A-F",
          "type": "string"
        },
        "resume": {
          "description": "Parsed resume fields: name, contact ({email, phone, location, links}), summary, skills (array), experience (array of {title, company, start, end, description}), education (array of {degree, institution, year}). Missing scalar fields are null; arrays are empty when nothing is found.",
          "type": "object"
        },
        "score": {
          "description": "Quality score 0-100",
          "type": "number"
        },
        "skills_count": {
          "description": "Number of skills extracted.",
          "type": "number"
        }
      },
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}

Example shape — generated from the schema, not a captured live response

{
  "example": {
    "cached": true,
    "education_count": 0,
    "experience_count": 0,
    "findings": [
      "string"
    ],
    "grade": "string",
    "resume": {},
    "score": 0,
    "skills_count": 0
  },
  "type": "string"
}

Examples

curl

curl -X POST 'https://netintel.dev/extract/resume' -H 'Content-Type: application/json' --data '{"text":"Jane Doe\nSan Francisco, CA | [email protected] | +1 555 867 5309 | linkedin.com/in/janedoe\n\nSummary: Senior engineer with 10 years experience.\n\nSkills: Python, TypeScript, Kubernetes\n\nExperience:\nStaff Engineer, Acme Corp (2020-present) — Led platform team\n\nEducation:\nBS Computer Science, UC Berkeley, 2014"}'
# -> 402 Payment Required; read PAYMENT-REQUIRED
# retry the identical request with PAYMENT-SIGNATURE

JavaScript

const res = await fetch("https://netintel.dev/extract/resume", {
  "method": "POST",
  "headers": {
    "content-type": "application/json"
  },
  "body": "{\"text\":\"Jane Doe\\nSan Francisco, CA | [email protected] | +1 555 867 5309 | linkedin.com/in/janedoe\\n\\nSummary: Senior engineer with 10 years experience.\\n\\nSkills: Python, TypeScript, Kubernetes\\n\\nExperience:\\nStaff Engineer, Acme Corp (2020-present) — Led platform team\\n\\nEducation:\\nBS Computer Science, UC Berkeley, 2014\"}"
});
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

Python

import httpx
import json
res = httpx.request("POST", "https://netintel.dev/extract/resume", json=json.loads("{\"text\":\"Jane Doe\\nSan Francisco, CA | [email protected] | +1 555 867 5309 | linkedin.com/in/janedoe\\n\\nSummary: Senior engineer with 10 years experience.\\n\\nSkills: Python, TypeScript, Kubernetes\\n\\nExperience:\\nStaff Engineer, Acme Corp (2020-present) — Led platform team\\n\\nEducation:\\nBS Computer Science, UC Berkeley, 2014\"}"))
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Details

Provider: netintel.dev
Endpoint: https://netintel.dev/extract/resume
Machine-readable: /resources/29579.json